Remote RL Post-Training Scientist Decentralized AI

Pluralis Research is seeking an experienced engineer to own RL post-training for large language models in a decentralized setting. You will architect end-to-end pipelines from rollout ingestion to weight updates, tackling asynchronous, high-latency environments across globally distributed GPUs.

The role emphasizes production-grade Python/PyTorch engineering, research-oriented problem solving, and delivering the first decentralized post-trained models with robust evaluation.

Our organisation is growing, and we are hiring a Remote RL Post-Training Scientist for Decentralized AI in CA, United States.

We are seeking a motivated Remote RL Post-Training Scientist for Decentralized AI to join Pluralis Research in CA, United States.

Consider building your career as a Remote RL Post-Training Scientist for Decentralized AI at Pluralis Research.

The Remote RL Post-Training Scientist for Decentralized AI position in the IT & Technology, Other field is open for applications.